Instructions to use SCREAMIE/nasa_nabulas_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SCREAMIE/nasa_nabulas_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SCREAMIE/nasa_nabulas_LoRA") prompt = "nebula" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL LoRA DreamBooth - SCREAMIE/nasa_nebulas_LoRA
Model description
Nasa real images of nabulas
These are SCREAMIE/nasa_images_fine_tunning_dreambooth_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: True.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
Trigger words
You should use nebula to trigger the image generation.
Example: photo of a beautiful colored nebula
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for SCREAMIE/nasa_nabulas_LoRA
Base model
stabilityai/stable-diffusion-xl-base-1.0